Artificial Intelligence-Based Processing of Old Audio Recordings
Learning algorithms have been implemented to eliminate the impulse distortions found in old records. The neural network simulation was tested with regard to the detection of hiss, scratches, and clicks. Various algorithms for the interpolation of distorted signal fragments were studied and implemented practically to the sound restoration. The quality of the restored sound patterns was assessed subjectively. The applied methods, results of subjective testing, and conclusions are presented in the paper.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members, $5 for AES members and is free for E-Library subscribers.